Incorporating Rotation Invariance with Non-invariant Networks for Point Clouds-Reference-Cited by-同舟云学术

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Incorporating Rotation Invariance with Non-invariant Networks for Point Clouds

Published:2024-03-18 Issue: Volume: Page:985-994
ISSN:
Container-title:2024 International Conference on 3D Vision (3DV)
language:
Short-container-title:

Author:

Fei Jiajun¹,Deng Zhidong¹

Affiliation:

1. Institute for Artificial Intelligence at Tsinghua University (THUAI),State Key Laboratory of Intelligent Technology and Systems Beijing National Research Center for Information Science and Technology (BNRist),Department of Computer Science and Technology, Tsinghua University,Beijing,China,100084

Funder

National Science Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550191/10550447/10550613.pdf?arnumber=10550613

Reference42 articles.

1. ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis

2. The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution

3. SHPR-Net: Deep Semantic Hand Pose Regression From Point Clouds

4. Spherical CNNs;Cohen

5. Vector Neurons: A General Framework for SO(3)-Equivariant Networks

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Rotation invariance and equivariance in 3D deep learning: a survey;Artificial Intelligence Review;2024-06-07

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